Top 10 FAIR Data & Software Things

19
May
2020

Top 10 FAIR Data & Software Things

By Daniel Bangert


Libraries for Research Data IG

Group co-chairs:  Birgit Schmidt, Andi Ogier, Marta Teperek, Christopher Erdmann

Supporting Output title: Top 10 FAIR Data & Software Things

Authors: Paula Andrea Martinez, Christopher Erdmann, Natasha Simons, Reid Otsuji, Stephanie Labou, Ryan Johnson, Guilherme Castelao, Bia Villas Boas, Anna-Lena Lamprecht, Carlos Martinez Ortiz, Leyla Garcia, Mateusz Kuzak, Liz Stokes, Tom Honeyman, Sharyn Wise, Josh Quan, Scott Peterson, Amy Neeser, Lena Karvovskaya, Otto Lange, Iza Witkowska, Jacques Flores, Fiona Bradley, Kristina Hettne, Peter Verhaar, Ben Companjen, Laurents Sesink, Fieke Schoots, Erik Schultes, Rajaram Kaliyaperumal, Erzsébet Tóth-Czifra, Ricardo de Miranda Azevedo, Sanne Muurling, John Brown, Janice Chan, Niamh Quigley, Lisa Federer, Douglas Joubert, Allissa Dillman, Kenneth Wilkins, Ishwar Chandramouliswaran, Vivek Navale, Susan Wright, Silvia Di Giorgio, Mandela Fasemore, Konrad Förstner, Till Sauerwein, Eva Seidlmayer, Ilja Zeitlin, Susannah Bacon, Katie Hannan, Richard Ferrers, Keith Russell, Deidre Whitmore, Tim Dennis, Daniel Bangert, Albert Meroño Peñuela, Enrico Daga, Gerry Ryder, Aswin Narayanan, Iryna Kuchma, Jose Manzano Patron, Andrew Mehnert, Matthias Liffers, Ronald Siebes, Gerard Coen, Kathleen Gregory, Andrea Scharnhorst, Maria Cruz, Francoise Genova, Matthew Kenworthy, Natalie Meyers, Evert Rol, Juande Santander-Vela, Joanne Yeomans, Elli Papadopoulou, Emma Lazzeri, Leonidas Mouchliadis, Katerina Lenaki, Spyros Zoupanos, Danail Hristozov, Stella Stoycheva, Ellen Leenarts, Marjan Grootveld, Frans Huigen, Eliane Fankhauser

Impact: Provides 17 topic-based, community submitted brief guides that can be used by the research community to understand how they can make their research (data and software) more FAIR (Findable, Accessible, Interoperable and Reusable).

DOI: 10.5281/zenodo.2555497

Citation: Paula Andrea Martinez, Christopher Erdmann, Natasha Simons, Reid Otsuji, Stephanie Labou, Ryan Johnson, Guilherme Castelao, et al. (2019). Top 10 FAIR Data & Software Things. https://doi.org/10.5281/zenodo.2555497 

 

Abstract

The Top 10 FAIR Data & Software Things are brief guides (stand alone, self paced training materials), called "Things", that can be used by the research community to understand how they can make their research (data and software) more FAIR (Findable, Accessible, Interoperable and Reusable).

For further information see: https://librarycarpentry.org/Top-10-FAIR/

Keywords: FAIR, research data, research software

License: Creative Commons Attribution 4.0 International

 

Output Status: 
Supporting Outputs under community review
Primary WG Focus / Output focus: 
Domain Agnostic: 
Domain Agnostic
  • Susanna-Assunta Sansone's picture

    Author: Susanna-Assunta...

    Date: 19 May, 2020

    Great work, thank you. I have noticed that you do not have a specific activity on standards, and you may want to consider adding one to search, filter standards in FAIRsharing, an endorsed RDA output, since in this resource the repositories are interlinked to the (data and metadata) standards they implement. This will inform the users on if a standards is actually used. Feel free to get an example from the FAQs in the Educational page. Thanks.

  • Christopher Erdmann's picture

    Author: Christopher Erdmann

    Date: 30 May, 2020

    Hello Susanna-Assunta,

    There are several Things that address what I believe you highlight above. Have a look at:

    Humanities: Historical Research: Thing 10: Policies
    Biomedical Data Producers, Stewards, and Funders: Thing 8: Indexing repositories to enable findability
    Imaging (several Things include FAIRsharing-related exercises)

    Both PDF attachments can be found at http://doi.org/10.5281/zenodo.3409968. RDA will hopefully be adding the 2nd attachment PDF to this page soon.

    Hope this helps?

    Best regards, 
    Chris Erdmann

submit a comment